Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

The Selection Of Wavelet Function In Singular Signal Detection

Authors
Zaiyu Chen, Yang Liu, Zengli Liu, Hui Tang
Corresponding Author
Zaiyu Chen
Available Online March 2013.
DOI
10.2991/iccsee.2013.382How to use a DOI?
Keywords
singular signal detection, wavelet transform, wavelet function, the characteristics of wavelet function
Abstract

In the research of singular signal detection, the selection of wavelet function is the first issue to be considered. How to choose the wavelet function for singular signal detection is emphasized in this paper. It’s based on the fact that the wavelet function can be perfectly selected by comprehensive considering the characteristics of wavelet function, such as compact support, regularity and vanishing moments. The simulation is presented to illustrate the validity and feasibility of the method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.382How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zaiyu Chen
AU  - Yang Liu
AU  - Zengli Liu
AU  - Hui Tang
PY  - 2013/03
DA  - 2013/03
TI  - The Selection Of Wavelet Function In Singular Signal Detection
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1522
EP  - 1525
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.382
DO  - 10.2991/iccsee.2013.382
ID  - Chen2013/03
ER  -